hrayrhar / limit-label-memorizationLinks
Improving generalization by controlling label-noise information in neural network weights.
☆40Updated 4 years ago
Alternatives and similar repositories for limit-label-memorization
Users that are interested in limit-label-memorization are comparing it to the libraries listed below
Sorting:
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 6 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆61Updated 5 years ago
- ☆42Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆41Updated 4 years ago
- ☆23Updated 4 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- ☆18Updated 6 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 4 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- ☆52Updated 4 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- ☆34Updated 6 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- ☆46Updated 2 years ago
- ☆51Updated 5 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Updated 4 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated last year
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago